Summary of 2_DecisionTree
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Decision Tree
- n_jobs: -1
- criterion: gini
- max_depth: 3
- explain_level: 2
Validation
- validation_type: split
- train_ratio: 0.75
- shuffle: True
- stratify: True
Optimized metric
logloss
Training time
6.7 seconds
Metric details
|
score |
threshold |
| logloss |
0.270943 |
nan |
| auc |
0.941587 |
nan |
| f1 |
0.933742 |
0.375723 |
| accuracy |
0.914961 |
0.375723 |
| precision |
0.976534 |
0.940678 |
| recall |
0.998773 |
0 |
| mcc |
0.815061 |
0.375723 |
Metric details with threshold from accuracy metric
|
score |
threshold |
| logloss |
0.270943 |
nan |
| auc |
0.941587 |
nan |
| f1 |
0.933742 |
0.375723 |
| accuracy |
0.914961 |
0.375723 |
| precision |
0.933742 |
0.375723 |
| recall |
0.933742 |
0.375723 |
| mcc |
0.815061 |
0.375723 |
Confusion matrix (at threshold=0.375723)
|
Predicted as CONFIRMED |
Predicted as FALSE POSITIVE |
| Labeled as CONFIRMED |
401 |
54 |
| Labeled as FALSE POSITIVE |
54 |
761 |
Learning curves

Decision Tree
Tree #1
Rules
if (rowid > 3630.5) and (koi_count <= 1.5) and (koi_fwm_stat_sig <= 0.002) then class: FALSE POSITIVE (proba: 98.56%) | based on 1,389 samples
if (rowid <= 3630.5) and (koi_dikco_msky <= 1.755) and (koi_prad <= 13.78) then class: CONFIRMED (proba: 92.69%) | based on 1,204 samples
if (rowid > 3630.5) and (koi_count <= 1.5) and (koi_fwm_stat_sig > 0.002) then class: FALSE POSITIVE (proba: 84.09%) | based on 597 samples
if (rowid <= 3630.5) and (koi_dikco_msky > 1.755) and (koi_count <= 2.5) then class: FALSE POSITIVE (proba: 97.66%) | based on 256 samples
if (rowid > 3630.5) and (koi_count > 1.5) and (koi_dicco_msky <= 1.51) then class: CONFIRMED (proba: 62.43%) | based on 173 samples
if (rowid <= 3630.5) and (koi_dikco_msky <= 1.755) and (koi_prad > 13.78) then class: FALSE POSITIVE (proba: 94.07%) | based on 118 samples
if (rowid > 3630.5) and (koi_count > 1.5) and (koi_dicco_msky > 1.51) then class: FALSE POSITIVE (proba: 93.75%) | based on 64 samples
if (rowid <= 3630.5) and (koi_dikco_msky > 1.755) and (koi_count > 2.5) then class: CONFIRMED (proba: 100.0%) | based on 8 samples
Permutation-based Importance

Confusion Matrix

Normalized Confusion Matrix

ROC Curve

Kolmogorov-Smirnov Statistic

Precision-Recall Curve

Calibration Curve

Cumulative Gains Curve

Lift Curve

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